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Bioinformatician at the intermediate or senior level. The Breuss laboratory is focused on employing and developing statistical machine learning, bioinformatic algorithms, and related approaches for the detection
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personal interviews Schedule subject participation in research clinical trial, coordinating availability of necessary space, and clinical research support (e.g., physician, nurse practitioner, laboratory
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working in the exciting and dynamic fields of deep learning and medical imaging. The main focus will be to develop novel deep learning algorithms to analyze medical imaging data (e.g., ophthalmology
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Responsibilities: Research (75%) Investigate literatures to identify existing solutions and the problem Develop and apply state-of-the-art natural language processing algorithms and models to multimodal data
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peer-reviewed journals. The Research Scientist works with large-scale datasets, conducts experiments to validate hypotheses, and refines algorithms for efficiency, scalability, and interpretability
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to build end-to-end diagnostic pipelines. Dynamic Imaging Analysis: Develop and optimize algorithms for time-resolved imaging data, including cardiac cine MRI and dynamic contrast-enhanced series